Resource Allocation for NOMA-Assisted A2G Communication-Caching-Charging (3C) Integrated Network
To provide seamless wireless coverage, the framework integrating the air network and the ground heterogeneous network has attracted extensive attentions. In this work, we develop a non-orthogonal multiple access (NOMA) assisted air-to-ground (A2G) communication-caching-charging (3C) integrated network. Specifically, we propose a resource allocation strategy to minimize the transmission latency of ground users. Since the formulated problem is difficult to solve directly, it is decomposed into three sub-problems, user pairing, user power allocation and file power allocation. Firstly, we propose a user clustering and pairing strategy according to the distance and channel gain. Secondly, the closed-form solution for the power allocation of files to maximize the duration for energy harvesting is derived. Thirdly, we apply genetic algorithm (GA), which can search for the global optimal solution, to obtain the power allocation factors for users to maximize the rate. Finally, simulations evaluate the superiority of the developed network and the proposed strategy in reducing user delay.